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Data Scientist - Generative AI

Why Asurion

At Asurion, we provide over 290 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. We deliver easy, instant access to a community of tech experts, to solve any technology issue you could ever have with almost any device you’ll ever own. Our AI team is heavily focused on empowering our agents in providing best in class service but also building generative AI solutions to increase our reach and cover many more channels.

About the team:

We believe in giving our best and brightest the autonomy to define their solutions. Our  technology teams work in the Journey Team model, which allows us to move quickly and  continuously deploy new features, giving data scientists & researchers freedom to cover all  areas of the development process from ideation, research, experimentation, and scaling of new  products and services. As a member of our team, you will not just observe, but be an active participant in knowledge sharing sessions, brainstorming as well as daily standups & team outings. We are looking for an individual who is curious, humble and eager to learn – which is the way we all approach the work we do.

What you’ll be doing:

●    Ability to drive a key business area and prioritize corresponding efforts strategically 

●    Deliver end-to-end reliable and scalable AI features in production

●    Provide Data Science updates to senior executive audience

●    Work with stakeholders to identify new Machine Learning/AI opportunities

●    Provide mentorship and guidance to other fellow data scientists

●    Define platform and operation improvement opportunities, formulate data science problems

●    Develop prototypes for new data product ideas and build data pipelines/flask apps for deployment

●      Experiment with latest generative LLMs to build next generative applications and boost existing ones

●      Design and iterate on genAI prompts based on performance metrics and user feedback to ensure high-quality outputs and enhance overall system performance

●    Leverage deep understanding of modern machine learning techniques and their mathematical underpinning to regularly invent new and novel approaches to solve problems

●    Take Asurion’s automation and bot capabilities on digital customer service channels to the next level, working within a highly focused and multi-disciplinary team.

●    Follow cutting-edge NLP research and leverage open-source frameworks to develop self learning models, in a full automation or backed by human agents.

●      Utilize our humans in the loop to continuously train and improve the  responses offered to customer inquiries

●      Build scalable solution configurable through no code interface 

●      Drive a Minimum Viable Product (MVP) test-and-learn approach and push to learn fast. Work in an iterative manner from framing problems, to building prototypes, to  deploying end-to-end and reliable production-grade solutions 

●      Help defining and monitoring the right Key Performance Indicators (KPIs) to track and  deliver on critical objectives and key results

What you'll bring to the team:

●      Your technical excellence, specifically in latest Large Language Models

●      Your drive to keep up with the ever changing AI landscape and release of new LLMs

●      The ability to root cause, define, and solve complex problems in ambiguous situations. Innate curiosity and product mindset helping you articulate new ideas as well as novel  technical approaches

●      Self-driven and able to ask and tackle the most important analytical questions with a view on driving product impact

●      Ability to work and collaborate with different functions of the organization, from operation teammates, to product managers and engineers 

●      Excellent communication (written and oral) and presentation skills, including creating  and sharing complex ideas to peers. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

●      You’re a result-driven thinker and doer. You offer out-of-the-box ideas and aren’t afraid to roll up  your sleeves to get the job done 

●      Respect for all people, an open mind, and an open heart. We pride ourselves on building  inclusive environments. After all, it’s the diversity of thought that builds great products! 

●      Your experience in tweaking genAI prompts to enforce expected behavior

Experience and education:

●      Requires a master’s degree in analytics, computer science, electrical engineering,  computer engineering, or related advanced analytical & optimization fields, plus 2 years of related experience in current or previous company

      Prior experience in mentoring and coaching data scientists

●      Solid experience implementing and fine tuning generative AI large foundation models models (LLMs), with a strong understanding of NLP techniques and frameworks such as embeddings, GPT, or Transformer models

●Knowledge of cloud computing and AI deployment (AWS, Google Cloud)

●Solid Knowledge in Deep Learning and/or Machine Learning gained through academiccoursework or any amount of internship/work experience.

●Knowledge in Statistics, optimization theoretical concepts and/or optimization problemformulation gained through academic coursework or any amount of internship/workexperience

●Solid knowledge in Python programming gained through academic coursework or anyamount of internship/work experience.

Average salary estimate

$102500 / YEARLY (est.)
min
max
$85000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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If you ask us, technology is pretty amazing. Every day, it transforms what people can do and simplifies how we do it. Technology is everywhere, so we are too! With offices in 55 locations across the globe, our 22,000 employees are equipped to help...

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Full-time, remote
DATE POSTED
April 9, 2025

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